Top Data & Analytics Jobs in Cincinnati, OH

Leads the design, development, and maintenance of scalable cloud data pipelines, warehouses, models, and analytical data products. Uses GCP services, SQL, Python, and modern data engineering tools to ingest, transform, govern, and optimize data. Partners with business, product, IT, and analytics stakeholders to translate requirements into solutions, ensures data quality and compliance, monitors delivery, and mentors data engineers.

Drives data collection, analysis, KPI reporting, dashboard development, forecasting, and executive presentations. Builds standardized reporting processes, improves data quality, investigates metric fluctuations, and translates business requirements into actionable insights. Collaborates with cross-functional teams, leadership, vendors, and partners to prioritize information needs, maintain data integrity, automate reporting, and communicate findings effectively.

Provides technical leadership for scalable on-premises and AWS data warehouse solutions, including Amazon Redshift. Designs, develops, tests, and implements high-availability data applications and batch or real-time pipelines processing terabytes of data. Partners with architects, data scientists, product teams, and business stakeholders to define solutions, improve processes, enforce data standards, and lead Agile technical teams. Requires strong expertise in ETL, Ab Initio, SQL, relational databases, cloud engineering, and regulated financial data environments.

Analyze multi-channel fraud trends, develop data-driven insights and recommendations to prevent and detect fraud, evaluate controls and authentication strategies, support testing and implementation of fraud controls, and present executive-ready analytics to inform enterprise fraud strategy and prioritization.

Analyze and document claim and encounter data, write complex SQL queries and reports, perform root-cause analysis, support system enhancements, execute test scripts, and collaborate with stakeholders to deliver data-driven solutions for healthcare claims/encounters.

Leads geospatial and GIS projects using the Esri platform to create maps, dashboards, spatial analyses, and field data solutions. Manages spatial data quality, project budgets, timelines, client relationships, proposals, and multidisciplinary deliverables. Advises clients on geospatial technologies and serves as a GIS project lead while supporting environmental assessments, infrastructure, permitting, and resource-planning projects.

Analyzes complex data from multiple sources to identify business drivers, conduct recurring and ad hoc analyses, and recommend actions. Collaborates across departments, prepares findings and presentations for clients and senior management, develops reporting processes, and may review, coach, and mentor less experienced staff.

Business Analyst gathers and documents requirements, translates business needs into technology solutions, creates and executes UI and API test cases, supports production issues, writes SQL queries, maintains documentation, and manages change requests through releases. The role partners with business and IT teams in an Agile environment and identifies opportunities to use AI and automation to improve productivity and quality.

Design, build, and optimize scalable data pipelines and platform components supporting analytics and AI/ML. Own complex engineering initiatives, resolve performance and production issues, improve governance and reliability, and contribute to infrastructure-as-code and CI/CD practices. Provide technical leadership through architecture guidance, code reviews, mentoring, documentation, and cross-functional collaboration. Support cloud data platforms, lakehouse architectures, curated datasets, feature stores, and streaming data access.

Supports data modernization by assessing legacy structures, designing modern data architectures, developing ETL/ELT pipelines, integrating APIs and cloud services, and ensuring data quality, security, governance, and lineage. Analyzes data for migration and reconciliation, creates dashboards and reports, and collaborates with technical and business teams. Applies AI tools to improve software development, DevSecOps, testing, security, deployment, and automation processes.

Analyze financial, transactional, and sales data to identify trends, variances, and opportunities. Build reports and visualizations, support budgeting/forecasting and variance analysis, partner with FP&A and BI teams, and provide recommendations to improve Travel operations and performance.